CN109017795A - A kind of driving habit monitoring method - Google Patents
A kind of driving habit monitoring method Download PDFInfo
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- CN109017795A CN109017795A CN201810735976.1A CN201810735976A CN109017795A CN 109017795 A CN109017795 A CN 109017795A CN 201810735976 A CN201810735976 A CN 201810735976A CN 109017795 A CN109017795 A CN 109017795A
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- vehicle
- axis
- driving habit
- acceleration sensor
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W40/00—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W40/00—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models
- B60W40/08—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models related to drivers or passengers
- B60W40/09—Driving style or behaviour
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- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Automation & Control Theory (AREA)
- Mathematical Physics (AREA)
- Transportation (AREA)
- Mechanical Engineering (AREA)
- Lighting Device Outwards From Vehicle And Optical Signal (AREA)
Abstract
The invention discloses a kind of driving habit monitoring methods, calibrate to vehicle-mounted acceleration sensor；In the △ t of preset time section, vehicle is calculated in the stress variable quantity △ x of direction of advance, if △ x is greater than preset threshold, is recorded as bad steering habit；Conversely, being then normal driving habit.The technical program can carry out precise acquisition to driving habit.
Description
Technical field
The present invention relates to acceleration sensors to calibrate field, in particular to a kind of driving habit monitoring method.
Background technique
Vehicle electronics product needs the accurate offer real-time three axis directions stress condition of vehicle, as driving habit culture, vehicle
Collision reduction foundation.Acceleration transducer on the market can only provide the big of three fixed axis stress of sensor orientation at present
It is small, while vehicle electronics product is placed on position on vehicle, horizontal angle has many uncertain factors, eventually leads to acceleration
Sensor can not provide the stress variation of real-time three axis (direction of advance, side direction, vertical direction).Eventually lead to supervise in time
Control user driving habits.
Summary of the invention
The technical problem to be solved by the present invention is to cannot monitor user driving habits in time.
To solve the above problems, the present invention provides a kind of driving habit monitoring method,
Vehicle-mounted acceleration sensor is calibrated according to the above method；
In preset time interval Δ t, vehicle is calculated in the stress variation delta x of direction of advance, if Δ x is greater than default threshold
Value is then recorded as bad steering habit；Conversely, being then normal driving habit.
Compared with prior art, the technical program has the advantage that
The technical program can carry out precise acquisition to driving habit.
Detailed description of the invention
Fig. 1 is the flow chart of three axis method for self-calibrating of vehicle-mounted acceleration sensor in first embodiment of the invention；
Fig. 2 is the architecture diagram of three axis self-calibration systems of vehicle-mounted acceleration sensor in second embodiment of the invention.
Specific embodiment
To make the above purposes, features and advantages of the invention more obvious and understandable, with reference to the accompanying drawing to the present invention
Specific embodiment be described in detail.
First embodiment
With reference to Fig. 1, the present embodiment provides a kind of three axis method for self-calibrating of vehicle-mounted acceleration sensor, including establish three-dimensional sit
Mark system obtains ZnewAxis obtains XnewAxis and acquisition YnewAxis.
Wherein, establishing three-dimensional system of coordinate includes:
It establishes the three-dimensional system of coordinate O-XYZ based on acceleration transducer and establishes the three-dimensional coordinate based on vehicle traveling direction
It is O-XnewYnewZnewIf three-dimensional system of coordinate O-XYZ and three-dimensional system of coordinate O-XnewYnewZnewConversion equation set are as follows:
Xnew=a1*X+b1*Y+c1*Z；
Ynew=a2*X+b2*Y+c2*Z；
Znew=a3*X+b3*Y+c3*Z.
Wherein, Z is obtainednewAxis includes:
In vehicle ignition point, acceleration transducer is only acted on by gravity G, and the opposite direction of gravity G is O-XnewYnewZnew
In ZnewAxis.
If tri- axis stress of three-dimensional system of coordinate O-XYZ is respectively gx, gy, gz, gravity G；
Calculate three axis XYZ and ZnewThe angle of axis, it is assumed that angle is d respectivelyznew, βznew, γznew, then
A3=cos αznew=-gx/G；
B3=cos βznew=-gy/G；
C3=cos γznew=-gz/G.
In specific operation process, Z is obtained in order to improvenewThe accuracy of axis, can generally save and calculating vehicle is lighted a fire wink
Between 20 groups of Znew, average value is calculated as new Znew。
Wherein, X is obtainednewAxis includes:
When vehicle accelerates, vehicle-mounted acceleration sensor is by resultant force towards XnewThe effect in direction is calculated by the resultant force
XnewAxis.
In the present embodiment, GPS gathers car speed is used to judge whether vehicle is in acceleration mode, and vehicle, which is in, to be added
X can be calculated when under fast statenewAxis.
If increased component of acceleration is Δ x, Δ y, Δ z respectively on each axis, then resultant acceleration is
Assuming that three axis XYZ and XnewThe angle of axis is α respectivelyxnew, βxnew, γxnew, then
A1=cos αxnew=Δ x/ Δ a；
B1=cos βxnew=Δ y/ Δ a；
C1=cos γxnew=Δ z/ Δ a.
In specific operation process, X is obtained in order to improvenewThe accuracy of axis, can generally save and calculating vehicle is lighted a fire wink
Between 10 groups of Xnew, average value is calculated as new Xnew。
Wherein, Y is obtainednewThe method of axis are as follows:
Obtaining XnewAnd ZnewAfter axis, Y is calculated by right-hand rulenewAxis.
The technical solution of the present embodiment can calibrate three axis directions of vehicle-mounted acceleration sensor, be capable of providing in real time
Three axis stress conditions, can more accurately react the driving habit of driver, and more accurately reduction vehicle collision
Truth.
Moreover, the technical solution, which is used, calculates X when vehicle acceleratesnewAxis, this installs vehicle-mounted acceleration sensor for the first time
Afterwards, when automotive ignition moves, that is, it can trigger self calibration detection, improve self-alignment detection frequency, can fill up self-alignment
The blank phase.
Second embodiment
With reference to Fig. 2, the present embodiment provides a kind of three axis self-calibration systems of vehicle-mounted acceleration sensor, including accelerate sensing
Device, GPS and computing system.
Three-dimensional system of coordinate based on acceleration transducer is O-XYZ, and the three-dimensional system of coordinate based on vehicle traveling direction is O-
XnewYnewZnewIf three-dimensional system of coordinate O-XYZ and three-dimensional system of coordinate O-XnewYnewZnewConversion equation set are as follows:
Xnew=a1*X+b1*Y+c1*Z；
Ynew=a2*X+b2*Y+c2*Z；
Znew=a3*X+b3*Y+c3*Z.
Wherein, GPS is for acquiring car speed to judge whether vehicle is in acceleration mode.
GPS is perceived when vehicle accelerates, and triggering computing system calculates XnewAxis:
Vehicle-mounted acceleration sensor is by resultant force towards XnewThe effect in direction, if increased component of acceleration difference on each axis
It is Δ x, Δ y, Δ z, then resultant acceleration is
Assuming that three axis XYZ and XnewThe angle of axis is α respectivelyxnew, βxnew, γxnew, then
A1=cos αxnew=Δ x/ Δ a；
B1=cos βxnew=Δ y/ Δ a；
C1=cos γxnew=Δ z/ Δ a.
Wherein, acceleration sensor is for acquiring vehicle in the stress of ignition point and stress during giving it the gun.
In vehicle ignition point, the collected stress of acceleration transducer is gravity G effect, and the opposite direction of gravity G is
O-XnewYnewZnewIn ZnewAxis, if tri- axis stress of three-dimensional system of coordinate O-XYZ is respectively gx, gy, gz；
Three axis XYZ and Z are calculated by computing systemnewThe angle of axis, it is assumed that angle is α respectivelyznew, βznew, γznew,
Then
A3=cos αznew=-gx/G；
B3=cos βznew=-gy/G；
C3=cos γznew=-gz/G.
Wherein, computing system is for calculating three-dimensional system of coordinate O-XYZ and three-dimensional system of coordinate O-XnewYnewZnewConversion.
The technical solution of the present embodiment can calibrate three axis directions of vehicle-mounted acceleration sensor, be capable of providing in real time
Three axis stress conditions, can more accurately react the driving habit of driver, and more accurately reduction vehicle collision
Truth.
Moreover, the technical solution obtains the acceleration mode of vehicle using GPS, three axis can be being calibrated when vehicle accelerates
Direction shortens the time of calibration, can more quickly obtain three axis informations.
The technical solution, which is used, calculates X when vehicle acceleratesnewAxis, after this installs vehicle-mounted acceleration sensor for the first time, vapour
When vehicle igniting movement, that is, it can trigger self calibration detection, improve self-alignment detection frequency, self-alignment blank can be filled up
Phase.
3rd embodiment
The present invention also provides a kind of driving habit monitoring methods, are first added using method described in first embodiment to vehicle-mounted
Fast sensor is calibrated.
Then in preset time interval Δ t, vehicle is calculated in the stress variation delta x of direction of advance, if Δ x is greater than in advance
If threshold value, then bad steering habit is recorded as；Conversely, being then normal driving habit.
The technical program can carry out precise acquisition to driving habit.
Although present disclosure is as above, present invention is not limited to this.Anyone skilled in the art are not departing from this
It in the spirit and scope of invention, can make various changes or modifications, therefore protection scope of the present invention should be with claim institute
Subject to the range of restriction.
Claims (1)
1. a kind of driving habit monitoring method, which is characterized in that
Vehicle-mounted acceleration sensor is calibrated；
In the △ t of preset time section, calculate vehicle direction of advance stress variable quantity △ x, if △ x be greater than preset threshold,
Then it is recorded as bad steering habit；Conversely, being then normal driving habit.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810735976.1A CN109017795A (en) | 2018-07-05 | 2018-07-05 | A kind of driving habit monitoring method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810735976.1A CN109017795A (en) | 2018-07-05 | 2018-07-05 | A kind of driving habit monitoring method |
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| Publication Number | Publication Date |
|---|---|
| CN109017795A true CN109017795A (en) | 2018-12-18 |
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| CN201810735976.1A Withdrawn CN109017795A (en) | 2018-07-05 | 2018-07-05 | A kind of driving habit monitoring method |
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104090127A (en) * | 2014-07-14 | 2014-10-08 | 上海移为通信技术有限公司 | Three-axis self-calibrating method for vehicle-mounted acceleration sensor |
| CN105679020A (en) * | 2016-01-29 | 2016-06-15 | 深圳市美好幸福生活安全系统有限公司 | Driving behavior analysis device and method |
| CN107025704A (en) * | 2017-03-14 | 2017-08-08 | 上海小蚁科技有限公司 | Driving behavior detection method and device, drive recorder and automobile based on acceleration transducer |
| CN107031652A (en) * | 2017-03-28 | 2017-08-11 | 安徽师范大学 | Driving behavior appraisal procedure |
| CN107665579A (en) * | 2016-07-27 | 2018-02-06 | 上海博泰悦臻网络技术服务有限公司 | A kind of user's driving behavior monitoring method and device |
-
2018
- 2018-07-05 CN CN201810735976.1A patent/CN109017795A/en not_active Withdrawn
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104090127A (en) * | 2014-07-14 | 2014-10-08 | 上海移为通信技术有限公司 | Three-axis self-calibrating method for vehicle-mounted acceleration sensor |
| CN105679020A (en) * | 2016-01-29 | 2016-06-15 | 深圳市美好幸福生活安全系统有限公司 | Driving behavior analysis device and method |
| CN107665579A (en) * | 2016-07-27 | 2018-02-06 | 上海博泰悦臻网络技术服务有限公司 | A kind of user's driving behavior monitoring method and device |
| CN107025704A (en) * | 2017-03-14 | 2017-08-08 | 上海小蚁科技有限公司 | Driving behavior detection method and device, drive recorder and automobile based on acceleration transducer |
| CN107031652A (en) * | 2017-03-28 | 2017-08-11 | 安徽师范大学 | Driving behavior appraisal procedure |
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Application publication date: 20181218 |